Hi,
It seems that random.shuffle does not 'shuffle' anymore when presented
with an n-dimensional array.
In [1]: import numpy as N
In [2]: a = N.arange(5).reshape((5,1))
In [3]: a
Out[3]:
array([[0],
[1],
[2],
[3],
[4]])
In [4]: N.random.shuffle(a)
In [5]: a
Out[5]:
array([[0],
[1],
[1],
[3],
[3]])
In [6]: N.__version__
Out[6]: '1.0.dev3390'
After application some rows appear to be duplicated. Is this
documented/intended behaviour?
Cheers,
YVES
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